Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
Testing remains a major challenge for model transformation development. Test models that are used as test data for model transformations, are constrained by various sources of kno...
In MDE, model transformations should be efficiently tested so that it may be used and reused safely. Mutation analysis is an efficient technique to evaluate the quality of test dat...
This paper presents a concept hierarchy-based approach to privacy preserving data collection for data mining called the P-level model. The P-level model allows data providers to d...
Asynchronous design has been the focus of renewed interest. However, a key bottleneck is the lack of high-quality CAD tools for the synthesis of large-scale systems which also all...